A fuzzy C-Means algorithm for fingerprint segmentation

Bibliographic Details
Main Author: Ferreira, Pedro M.
Publication Date: 2015
Other Authors: Sequeira, Ana F., Rebelo, Ana
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/11328/2475
https://doi.org/10.1007/978-3-319-19390-8n
Summary: Fingerprint segmentation is a crucial step of an automatic fingerprint identification system, since an accurate segmentation promote both the elimination of spurious minutiae close to the foreground boundaries and the reduction of the computation time of the following steps. In this paper, a new, and more robust fingerprint segmentation algorithm is proposed. The main novelty is the introduction of a more robust binarization process in the framework, mainly based on the fuzzy C-means clustering algorithm. Experimental results demonstrate significant benchmark progress on three existing FVC datasets.
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spelling A fuzzy C-Means algorithm for fingerprint segmentationFingerprint segmentationFuzzy C-means clusteringMorphological processingFingerprint segmentation is a crucial step of an automatic fingerprint identification system, since an accurate segmentation promote both the elimination of spurious minutiae close to the foreground boundaries and the reduction of the computation time of the following steps. In this paper, a new, and more robust fingerprint segmentation algorithm is proposed. The main novelty is the introduction of a more robust binarization process in the framework, mainly based on the fuzzy C-means clustering algorithm. Experimental results demonstrate significant benchmark progress on three existing FVC datasets.2018-11-30T17:35:22Z2018-11-302015-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfFerreira, P., Sequeira, A., Rebelo, A. (2015). A fuzzy C-Means algorithm for fingerprint segmentation. In Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Santiago de Compostela, Spain, 2015. doi: 10.1007/978-3-319-19390-8n. Disponível no Repositório UPT, http://hdl.handle.net/11328/2475http://hdl.handle.net/11328/2475Ferreira, P., Sequeira, A., Rebelo, A. (2015). A fuzzy C-Means algorithm for fingerprint segmentation. In Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Santiago de Compostela, Spain, 2015. doi: 10.1007/978-3-319-19390-8n. Disponível no Repositório UPT, http://hdl.handle.net/11328/2475http://hdl.handle.net/11328/2475https://doi.org/10.1007/978-3-319-19390-8nenghttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessFerreira, Pedro M.Sequeira, Ana F.Rebelo, Anareponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-09T02:14:05Zoai:repositorio.upt.pt:11328/2475Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:32:10.951266Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A fuzzy C-Means algorithm for fingerprint segmentation
title A fuzzy C-Means algorithm for fingerprint segmentation
spellingShingle A fuzzy C-Means algorithm for fingerprint segmentation
Ferreira, Pedro M.
Fingerprint segmentation
Fuzzy C-means clustering
Morphological processing
title_short A fuzzy C-Means algorithm for fingerprint segmentation
title_full A fuzzy C-Means algorithm for fingerprint segmentation
title_fullStr A fuzzy C-Means algorithm for fingerprint segmentation
title_full_unstemmed A fuzzy C-Means algorithm for fingerprint segmentation
title_sort A fuzzy C-Means algorithm for fingerprint segmentation
author Ferreira, Pedro M.
author_facet Ferreira, Pedro M.
Sequeira, Ana F.
Rebelo, Ana
author_role author
author2 Sequeira, Ana F.
Rebelo, Ana
author2_role author
author
dc.contributor.author.fl_str_mv Ferreira, Pedro M.
Sequeira, Ana F.
Rebelo, Ana
dc.subject.por.fl_str_mv Fingerprint segmentation
Fuzzy C-means clustering
Morphological processing
topic Fingerprint segmentation
Fuzzy C-means clustering
Morphological processing
description Fingerprint segmentation is a crucial step of an automatic fingerprint identification system, since an accurate segmentation promote both the elimination of spurious minutiae close to the foreground boundaries and the reduction of the computation time of the following steps. In this paper, a new, and more robust fingerprint segmentation algorithm is proposed. The main novelty is the introduction of a more robust binarization process in the framework, mainly based on the fuzzy C-means clustering algorithm. Experimental results demonstrate significant benchmark progress on three existing FVC datasets.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2018-11-30T17:35:22Z
2018-11-30
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv Ferreira, P., Sequeira, A., Rebelo, A. (2015). A fuzzy C-Means algorithm for fingerprint segmentation. In Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Santiago de Compostela, Spain, 2015. doi: 10.1007/978-3-319-19390-8n. Disponível no Repositório UPT, http://hdl.handle.net/11328/2475
http://hdl.handle.net/11328/2475
Ferreira, P., Sequeira, A., Rebelo, A. (2015). A fuzzy C-Means algorithm for fingerprint segmentation. In Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Santiago de Compostela, Spain, 2015. doi: 10.1007/978-3-319-19390-8n. Disponível no Repositório UPT, http://hdl.handle.net/11328/2475
http://hdl.handle.net/11328/2475
https://doi.org/10.1007/978-3-319-19390-8n
identifier_str_mv Ferreira, P., Sequeira, A., Rebelo, A. (2015). A fuzzy C-Means algorithm for fingerprint segmentation. In Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Santiago de Compostela, Spain, 2015. doi: 10.1007/978-3-319-19390-8n. Disponível no Repositório UPT, http://hdl.handle.net/11328/2475
url http://hdl.handle.net/11328/2475
https://doi.org/10.1007/978-3-319-19390-8n
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
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